Árpád TÖRÖK Ph.D.
Dr. Árpád Török is a Senior Research Fellow at the Department of Automotive Technologies at the Budapest University of Technology and Economics. His research focuses on vehicle and transport safety, automotive cybersecurity, and the safety aspects of automated systems.
Education and Professional Background
Dr. Árpád Török holds an MSc degree in Transport Engineering (2006) and a postgraduate specialist degree in Engineering Economics (2009). He obtained his PhD from the Budapest University of Technology and Economics in 2010 (summa cum laude). In 2022, he earned the qualification of Certified Transport Technical Expert and was also awarded his habilitation at BME.
Since 2010, he has been a lecturer and researcher at the Faculty of Transportation Engineering and Vehicle Engineering at BME. He has served as a Research Fellow since 2018 and as a Senior Research Fellow since 2022, while also acting as the professional head of the Safety Technology Research Group.
His research and teaching activities primarily focus on vehicle and transport safety, automotive cybersecurity, and the safety aspects of AI-based and highly automated systems. His work places strong emphasis on practical applicability and industrial relevance, and he has participated in numerous experimental, demonstration, and development projects.
Professional Experience and Collaborations
Following the completion of his doctoral studies, Dr. Török continued his career in academia. In addition to his teaching activities, he actively participates in national and international research and development projects.
His research is mainly related to vehicle safety, automotive cybersecurity, and the safety aspects of AI-based and highly automated systems. Through these projects, he has further developed expertise in safety technology, systems engineering, functional safety, and cybersecurity, while also contributing to the development of methods and tools applicable in real-world engineering practice.
During his work, he has collaborated with several industrial partners, including the Hungarian development centers of Jaguar Land Rover, Robert Bosch, and Knorr-Bremse.
In addition, he has participated in numerous national and international research projects, in several cases serving as research topic leader or professional coordinator and often managing the work of multidisciplinary research teams.
He regularly serves as a reviewer for international scientific journals in the fields of transport safety, automotive systems, and intelligent transportation technologies.
Teaching Activities
As a university lecturer, Dr. Török is strongly committed to supporting and mentoring talented students. His teaching philosophy emphasizes problem-based and practice-oriented learning, aiming to develop engineering thinking and a systems-level perspective.
He is involved in teaching at the bachelor’s, master’s, and doctoral levels. His courses cover functional safety, automotive cybersecurity, vehicle safety, and accident analysis. In addition, he is the program leader of the postgraduate specialization program for Transport Technical Experts.
Alongside university education, he also contributes to industrial training programs, primarily in the fields of automotive functional safety and cybersecurity.
Contact Information
Top Publications
Ghadi, M., & Török, Á. (2019).
A comparative analysis of black spot identification methods and road accident segmentation methods.
Accident Analysis & Prevention, 128, 1–7.
Török, Á. (2022).
Do automated vehicles reduce the risk of crashes – dream or reality?
IEEE Transactions on Intelligent Transportation Systems, 24(1), 718–727.
Pethő, Z., Szalay, Z., & Török, Á. (2022).
Safety risk focused analysis of V2V communication especially considering cyberattack sensitive network performance and vehicle dynamics factors.
Vehicular Communications, 37, 100514.
Pauer, G., & Török, Á. (2022).
Introducing a novel safety assessment method through the example of a reduced complexity binary integer autonomous transport model.
Reliability Engineering & System Safety, 217, 108062.
Grimm, D., Tollner, D., Kraus, D., Török, Á., Sax, E., & Szalay, Z. (2024).
A numerical verification method for multi-class feed-forward neural networks.
Expert Systems with Applications, 247, 123345.
Lóránt, G., Szalay, Z., & Török, Á. (2025).
Intelligent Resilience Testing of Vehicle Control Systems via Learning-Guided Fuzzing.
Expert Systems with Applications.
